datapreparation

DataPrep — The easiest way to prepare data in Python

Trifacta Flows Examples and Templates. Flows zip files, recipes and datasets.

Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. This Course on Udemy

Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.

NLP Analysis on Tripadvisor Restaurant Reviews

Bootcamp - Machine Learning Analyst / Analista de Aprendizado de Máquina (by IGTI)

Need to model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables. They can accordingly manipulate the strategy of the firm and concentrate on areas that will yield high returns. Further, the model will be a good way for management to understand the pricing dynamics of a new market.

I have designed an user defined function in R that takes (Dataset, Target Variable, Treshold, Categorical Varible and smoothing factor ) as arguments and generated a smoothed smooth logit table for any given categorical variable in a data set. The data set used for running the test cases has 1 million observations and 83 variables

In this repository, I implement a data preparation process. Data preparation is the stage where we prepare data for machine learning processes or other things related to data analysis.

This repository contains steps taken to predict the marketing strategy for a smart device manufacturing company.

This repository includes the codes from Practical Machine Learning with Python by Dipanjan Sarkar, Raghav Bali and Tushar Sharma.

DATASET : https://archive.ics.uci.edu/ml/datasets/iris

Outlier Detection Using Cluster Analysis

For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS

A helper package for preparing and combining data from a variety of sources

Prediction whether the economic crisis will occur in Africa countries

Machine Learning Mastery Course (by Jason Brownlee)

This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

A comprehensive path for NLP

This repo includes codes for ML Zoomcamp. If you can follow the tutorials from the link here: https://www.youtube.com/watch?v=rowoDjPc8HU&list=PL3MmuxUbc_hIhxl5Ji8t4O6lPAOpHaCLR 👩🏼‍💻

Data Preparation using python (Automobile Dataset)

DATA SET: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

Machine learning models build on real time data

Cryptocurrency Clusters

Data preparation and logistic regression model training and testing for the Rapid Hackathon 2018 ORF challenge